Predicting the Intention to Use Audi and Video Teaching Styles: An Empirical Study with PLS-SEM and Machine Learning Models

Alhumaid, Khadija; Alfaisal, Raghad; Alnazzawi, Noha; Alfaisal, Aseel; Alhumaidhi, Naimah Nasser; Alamarin, Mohammad; Salloum, Said A.

doi:10.1007/978-3-031-03918-8_23

Cited by 36 publications

(1 citation statement)

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“…The variables of TAM, including perceived ease of use, perceived usefulness, and subjective norms, have a close relationship with technology innovativeness and technology optimism. Previous studies have shown that subjective norms have a positive impact on technology optimism and innovativeness, which are part of students' personal characteristics [41][42][43][44]. Technology usage beliefs can also be influenced by academics and classmates in an academic setting.…”

Section: Learning Motivation Technology Innovativeness and Optimism A...mentioning

confidence: 99%

Integrating Teachers’ TPACK Levels and Students’ Learning Motivation, Technology Innovativeness, and Optimism in an IoT Acceptance Model

et al. 2022

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The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integration of attitudes from two different perspectives. Furthermore, other studies have investigated the use of the IoT in non-educational settings, ignoring the effect of the IoT related to the technology acceptance model (TAM) and technological pedagogical content knowledge (TPACK) model. The present work aims to address this research gap by determining the main factors that influence acceptance of the IoT, leading to increased awareness in collaborative learning, where technology forms the core tool in enhancing the use of the IoT. A questionnaire was used to collect data from teachers and students from colleges and universities in Oman and the United Arab Emirates (UAE). The data were analyzed through the structural equation modeling (SEM) method. The findings indicated that there are two levels of positive effects on the intention to use IoT. The first level is technology features, which are represented by technology optimism and technology innovation; these factors are crucial to using the IoT. The second level is learning motivation, which has a close relationship with teachers’ knowledge, and content pedagogy, which has a significant effect on the familiarity with IoT tools and applications. TAM constructs have a positive and direct impact on the intention to use IoT. The practical and managerial implications show that teachers, educators, and students can obtain benefits from these results to help IoT features to suit users’ needs.

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Section: Learning Motivation Technology Innovativeness and Optimism A...mentioning

confidence: 99%